This paper proposes an autonomous mining framework based on parallel intelligence, using self-evolving digital twins to model and guide mining processes. The framework includes a virtual mining subsystem for low-cost training and testing, and has been successfully deployed in over 30 mines, extracting over 30 million tons of minerals while enhancing safety and productivity.
Publisher
Communications Engineering
Published On
May 31, 2024
Authors
Long Chen, Yuting Xie, Yuhang He, Yunfeng Ai, Bin Tian, Lingxi Li, Shirong Ge, Fei-Yue Wang
Tags
autonomous mining
parallel intelligence
digital twins
mining safety
productivity enhancement
virtual mining subsystem
self-evolving systems
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